• DocumentCode
    2930154
  • Title

    The Method for Online Identification of Low-Frequency Oscillations in Power System

  • Author

    Zhang, Pu ; Ma, Jin ; Zhang, Guo-fei ; Hu, Yang-yu ; Fu, Hong-jun ; Wang, Hong-yin

  • Author_Institution
    Dept. of Electr. & Electr. Eng., North China Electr. Power Univ., Beijing, China
  • fYear
    2011
  • fDate
    25-28 March 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In large-scale power system, low frequency oscillation is becoming a serious threat to the power system security. Online identification is used to monitor the low frequency oscillations and control the system damping. This paper presents a method to identify the characteristic of low frequency oscillations, and describe the online implementation strategy. The simulation result of real power grid validates the effectivity of the presented method.
  • Keywords
    damping; fast Fourier transforms; power grids; power system security; power system stability; large-scale power system; low-frequency oscillation; online identification; power grid; power system security; Algorithm design and analysis; Damping; Fitting; Oscillators; Power systems; Signal processing algorithms; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
  • Conference_Location
    Wuhan
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4244-6253-7
  • Type

    conf

  • DOI
    10.1109/APPEEC.2011.5748557
  • Filename
    5748557